Department of Demography

Spring 2018 Courses

The following courses will be offered during the spring semester. This schedule will be updated if any other courses are added to the schedule. Refer to the campus schedule of classes for last minute time and location updates and to verify number of spaces remaining in the class.

Demography 160-002

Demog 160 Syllabus

2 units

Workshop on Research Careers in the Social Sciences. Students preparing for careers in research, policy or related fields will likely at some
point need to apply to graduate school, as well as know what the norms, paths and expectations of professionals in research careers. Knowing how to decide whether to go to grad school, how to identify the area of study and schools to apply, and understanding the criteria for acceptance are important for launching a successful research career. In addition, there are professional skills that are essential for career success. These areas require training to be successful, yet this training is not typically provided in the classroom. This class is designed to fill that need, sort of a ‘What they don’t teach you in Harvard Business School’. [] That is, the ‘soft skills’ that employers seek. This class begins with the learning how to apply to graduate school, and then continues with professionalization skills - workplace norms, project management, and much more.

Prerequisites: None

Leora Lawton, Mondays 12-1pm in 80 Barrows Hall. Class# 39734.

Demography/Econ C175-001
spring 2014 syllabus (pdf)
spring 2009 webcast
4 units

Introduction to Economic Demography. How do economic changes affect marriage, divorce, and child-bearing decisions? How does immigration to the US affect the ethnic composition of the population, the earnings of native workers, taxes on natives, and the macro-economy? What causes the aging of populations, and how will population aging affect the economies of industrial nations, and in particular, pension programs like Social Security? What accounts for the rise in women's participation in the wage labor force over the past century? How are family composition and poverty interrelated? Does rapid population growth slow economic development in Third World countries?

Joshua Goldstein, Tuesdays and Thursdays 12:30-2:00pm in F295 Haas. Class# 31761 (Demography) and 31762 (Economics).

Demography 180-001

3 units

Social Networks. The science of social networks focuses on measuring, modeling, and understanding the different ways that people are connected to one another. In this class, we will use a broad toolkit of theories and methods drawn from the social, natural, and mathematical sciences to learn what a social network is, to understand how to work with social network data, and to illustrate some of the ways that social networks can be useful in theory and in practice. We will see that network ideas are powerful enough to be used everywhere from CDC and UNAIDS, where network models help epidemiologists prevent the spread of HIV, to Silicon Valley, where data scientists use network ideas to build products that enable people all across the globe to connect with one another.

Dennis Feehan, Tuesdays and Thursdays 11am - 12:30pm in 141 McCone. Class# 41045.

Demography 220-001

4 units

Human Fertility. This course offers a critical, graduate-level introduction to the social science of reproduction, drawing especially on models and theories from demography, sociology, and anthropology. Among the topics are parity specific control and the calculus of conscious choice, below-replacement fertility, and the political economy of stratified reproduction.

Jennifer Johnson-Hanks. Fridays, 10am-12pm, Room 402 Barrows Hall. Class# 39165.

Demography 260 Section 002

4 units

260 Syllabus

Special Topics in Demography: Social Networks. This course provides a broad introduction to the empirical and theoretical study of social networks. We will cover classic and contemporary studies, beginning with fundamental definitions and models, and then moving through a range of topics, including models of network formation and structure (homophily, foci, communities); dynamic processes on networks (contagion, influence, and disease models); collaborative networks; personal networks; online networks; and network sampling and data collection.  The course material is intended to be of interest to students from a wide range of disciplinary backgrounds, including demography, sociology, statistics, computer science, and related fields.

Dennis Feehan. Wednesdays, 2pm-5pm, 2232 Piedmont Avenue, room 100 (seminar room). Class Number 23375.